Applied Machine Learning courses can help you learn data preprocessing, model selection, feature engineering, and evaluation metrics. You can build skills in implementing algorithms, optimizing performance, and interpreting results in practical contexts. Many courses introduce tools like Python, TensorFlow, and scikit-learn, that support developing machine learning models and applying AI techniques to solve real-world problems.

Edge Impulse
Skills you'll gain: Model Evaluation, Applied Machine Learning, Embedded Software, Data Preprocessing, Embedded Systems, Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Deep Learning, Model Deployment, Convolutional Neural Networks, Data Analysis, Feature Engineering, Computer Programming, Digital Signal Processing
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Cloud Deployment, Continuous Deployment, Model Evaluation, Data Preprocessing, Machine Learning, Applied Machine Learning, Data Validation, Feature Engineering, Data Quality, Debugging, Continuous Monitoring, Data Pipelines
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Supervised Learning, Predictive Analytics, Applied Machine Learning, Data Preprocessing, R Programming, Classification Algorithms, Machine Learning, Random Forest Algorithm, Regression Analysis, Exploratory Data Analysis, Data Wrangling
Mixed · Course · 1 - 4 Weeks

Edureka
Skills you'll gain: Power BI, Data Visualization, Data Analysis Expressions (DAX), Matplotlib, Plotly, Data Analysis, Exploratory Data Analysis, Seaborn, SQL, Pandas (Python Package), Probability & Statistics, Regression Analysis, Machine Learning, Statistical Hypothesis Testing, Python Programming, Data Transformation, Feature Engineering, Data Integration, NumPy, Web Scraping
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Model Evaluation, Supervised Learning, Machine Learning Methods, Classification Algorithms, Machine Learning, Data Analysis, Driving engagement
Intermediate · Course · 1 - 4 Weeks

Stanford University
Skills you'll gain: Healthcare Ethics, Data Ethics, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Responsible AI, Artificial Neural Networks, Healthcare Industry Knowledge, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Deep Learning, Convolutional Neural Networks, Health Policy, Data Preprocessing
Beginner · Course · 1 - 3 Months

Alberta Machine Intelligence Institute
Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Classification Algorithms, Model Evaluation, Jupyter, Decision Tree Learning, Machine Learning, Data Preprocessing, Scikit Learn (Machine Learning Library), Business Solutions, Python Programming, Regression Analysis, Performance Analysis, Feature Engineering, Data Processing, Process Optimization
Mixed · Course · 1 - 4 Weeks

Wesleyan University
Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Model Evaluation, Random Forest Algorithm, Applied Machine Learning, Predictive Analytics, Unsupervised Learning, Machine Learning Algorithms, Machine Learning, Data Analysis, Data Mining, Feature Engineering, Exploratory Data Analysis, Regression Analysis, Statistical Analysis, Python Programming
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Exploratory Data Analysis, Model Evaluation, Cloud Deployment, Data Preprocessing, Data Analysis, Amazon Elastic Compute Cloud, Application Deployment, Predictive Modeling, Data Pipelines, Extract, Transform, Load, Data Processing
Intermediate · Course · 1 - 4 Weeks

Amazon Web Services
Skills you'll gain: Applied Machine Learning, Machine Learning, AI Enablement, MLOps (Machine Learning Operations), Technology Roadmaps, Data-Driven Decision-Making, Artificial Intelligence and Machine Learning (AI/ML), Business Analytics, Business Solutions, Organizational Strategy, AI Product Strategy, Organizational Change, Product Roadmaps, Feasibility Studies, System Requirements, Solution Design, Training Programs
Beginner · Course · 1 - 4 Weeks

The University of Chicago
Skills you'll gain: Keras (Neural Network Library), Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Classification Algorithms, Supervised Learning, Regression Analysis, Random Forest Algorithm, Dimensionality Reduction, Model Evaluation, Data Preprocessing, Statistical Methods, Tensorflow, Feature Engineering, Pandas (Python Package)
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Artificial Intelligence, Bayesian Network, Applied Machine Learning, Computational Logic, Machine Learning, Unsupervised Learning, Bayesian Statistics, Artificial Neural Networks, Reinforcement Learning, Markov Model, Algorithms, Probability & Statistics, Decision Making
Mixed · Course · 1 - 3 Months